Summary of A Generalized Neural Tangent Kernel For Surrogate Gradient Learning, by Luke Eilers et al.
A generalized neural tangent kernel for surrogate gradient learningby Luke Eilers, Raoul-Martin Memmesheimer, Sven GoedekeFirst…
A generalized neural tangent kernel for surrogate gradient learningby Luke Eilers, Raoul-Martin Memmesheimer, Sven GoedekeFirst…
Bundle Neural Networks for message diffusion on graphsby Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael…
Rethinking Independent Cross-Entropy Loss For Graph-Structured Databy Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu,…
Certifiably Robust RAG against Retrieval Corruptionby Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi…
Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient…
Thinking Forward: Memory-Efficient Federated Finetuning of Language Modelsby Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun…
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reportedby Ethan Harvey, Mikhail Petrov,…
DAGER: Exact Gradient Inversion for Large Language Modelsby Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader,…
Efficient Adversarial Training in LLMs with Continuous Attacksby Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier…
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergenceby Ionut-Vlad Modoranu, Mher Safaryan,…